Data Binning is a data pre-processing technique used to reduce the effects of minor observation errors. It is done by grouping a number of more or less continuous values into a smaller number of “bins”. Example: if there is a dataset of people, we might want to group their ages into a smaller number of age intervals. This technique is also used in Image Processing when combining a cluster of pixels into a single pixel (reducing the number of pixels).


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